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Bajaj Auto logo — Bajaj Auto ML Data Engineer Intern in Vadodara, Gujarat
Bajaj Auto VerifiedActively Hiring

ML Data Engineer Intern

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Location

Vadodara, Gujarat

Work Mode

In Office

Duration

6 months

Stipend

₹21,000/mo

Start Date

Immediate / Rolling

Openings

15 positions

Type

Full-time

Category

Machine Learning

Apply Now — ₹21,000/moApply on Company Website ↗

About the Internship

Start your career in data engineering for machine learning with Bajaj Auto as a ML Data Engineer Intern in Vadodara. You will sit with a working team, use the same tools and systems they do, and own a defined piece of work from day one. About the role As a ML Data Engineer Intern at Bajaj Auto…

About Bajaj Auto

Bajaj Auto offers a mentor-led ML Data Engineer Intern in Vadodara with live project work in machine learning, a stipend of ₹21,000/month and a Pre-Placement Offer opportunity for strong performers.
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Vadodara, GujaratVerified employer15 openings
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Skills Required

PythonSQLETL / ELT PipelinesApache Spark BasicsFeature StoresAirflowData ValidationCloud StorageData VersioningPandas & NumPy

Who Can Apply

  • Final-year students and recent graduates from B.E./B.Tech (CSE/IT), BCA, MCA or M.Sc (Computer Science / Data Science) who are based in or willing to work from Vadodara. You should be keen to learn Python, SQL, ETL / ELT Pipelines on real projects and able to write clearly. Freshers are welcome — no prior work experience is required, and a strong project portfolio matters more than a long CV.

Perks

Letter of RecommendationMentorship from a named mentorLive project experienceExposure to professional tools and workflowsPre-Placement Offer (PPO) opportunity

Interview & Selection Process

4 rounds — typical selection flow for this role:

  1. 1Application screening & resume shortlisting by the talent team
  2. 2Team-fit / behavioural interview with the team
  3. 3Online aptitude / domain assessment
  4. 4HR discussion — stipend, start date, expectations and offer
21,000/month

Stipend · 6 months

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Openings15 positions
Applicants0 applied
ModeIn Office
CategoryMachine Learning
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